Overview

Dataset statistics

Number of variables17
Number of observations11590
Missing cells7721
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory136.0 B

Variable types

Numeric5
Text6
Categorical5
DateTime1

Alerts

City is highly overall correlated with StateHigh correlation
Latitude is highly overall correlated with StateHigh correlation
Longitude is highly overall correlated with StateHigh correlation
State is highly overall correlated with City and 2 other fieldsHigh correlation
Risk is highly imbalanced (54.9%)Imbalance
City is highly imbalanced (99.0%)Imbalance
State is highly imbalanced (99.7%)Imbalance
Facility Type has 136 (1.2%) missing valuesMissing
Violations has 7300 (63.0%) missing valuesMissing
Zip is highly skewed (γ1 = 49.47899331)Skewed
Inspection ID has unique valuesUnique

Reproduction

Analysis started2024-02-25 22:18:54.724181
Analysis finished2024-02-25 22:19:12.304377
Duration17.58 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

UNIQUE 

Distinct11590
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2442618.7
Minimum455308
Maximum2589562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size90.7 KiB
2024-02-25T22:19:12.457648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum455308
5-th percentile2232476.1
Q12313014.2
median2497307.5
Q32564520.5
95-th percentile2584188.6
Maximum2589562
Range2134254
Interquartile range (IQR)251506.25

Descriptive statistics

Standard deviation129136.08
Coefficient of variation (CV)0.052867884
Kurtosis3.3337032
Mean2442618.7
Median Absolute Deviation (MAD)86127
Skewness-0.6615482
Sum2.8309951 × 1010
Variance1.6676128 × 1010
MonotonicityNot monotonic
2024-02-25T22:19:12.679936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2589562 1
 
< 0.1%
2360194 1
 
< 0.1%
2360079 1
 
< 0.1%
2360063 1
 
< 0.1%
2360062 1
 
< 0.1%
2360050 1
 
< 0.1%
2360052 1
 
< 0.1%
2360027 1
 
< 0.1%
2360032 1
 
< 0.1%
2360011 1
 
< 0.1%
Other values (11580) 11580
99.9%
ValueCountFrequency (%)
455308 1
< 0.1%
2015573 1
< 0.1%
2015589 1
< 0.1%
2130215 1
< 0.1%
2170230 1
< 0.1%
2170231 1
< 0.1%
2170232 1
< 0.1%
2200506 1
< 0.1%
2200520 1
< 0.1%
2200526 1
< 0.1%
ValueCountFrequency (%)
2589562 1
< 0.1%
2589515 1
< 0.1%
2589485 1
< 0.1%
2589441 1
< 0.1%
2589436 1
< 0.1%
2589428 1
< 0.1%
2589416 1
< 0.1%
2589377 1
< 0.1%
2589362 1
< 0.1%
2589343 1
< 0.1%
Distinct7733
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size90.7 KiB
2024-02-25T22:19:13.057251image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length57
Median length46
Mean length18.333391
Min length1

Characters and Unicode

Total characters212484
Distinct characters77
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5416 ?
Unique (%)46.7%

Sample

1st rowSUBWAY SANDWICH & SALAD
2nd rowGEORGE E TAYLOR CHILD DEVELOPMENT CENTER
3rd rowCASA CENTRAL COMMUNITY SERVICE
4th rowDrummond
5th rowSTICKY KISS
ValueCountFrequency (%)
1031
 
3.0%
inc 948
 
2.7%
restaurant 574
 
1.7%
the 554
 
1.6%
food 404
 
1.2%
chicago 376
 
1.1%
cafe 367
 
1.1%
llc 366
 
1.1%
grill 327
 
0.9%
and 320
 
0.9%
Other values (7179) 29327
84.8%
2024-02-25T22:19:13.649122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23171
 
10.9%
A 17692
 
8.3%
E 17443
 
8.2%
R 12730
 
6.0%
O 12378
 
5.8%
I 12356
 
5.8%
N 11711
 
5.5%
S 11399
 
5.4%
T 10797
 
5.1%
C 9947
 
4.7%
Other values (67) 72860
34.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 173270
81.5%
Space Separator 23171
 
10.9%
Lowercase Letter 7586
 
3.6%
Other Punctuation 4877
 
2.3%
Decimal Number 3056
 
1.4%
Dash Punctuation 386
 
0.2%
Open Punctuation 54
 
< 0.1%
Close Punctuation 54
 
< 0.1%
Math Symbol 30
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 17692
 
10.2%
E 17443
 
10.1%
R 12730
 
7.3%
O 12378
 
7.1%
I 12356
 
7.1%
N 11711
 
6.8%
S 11399
 
6.6%
T 10797
 
6.2%
C 9947
 
5.7%
L 9510
 
5.5%
Other values (16) 47307
27.3%
Lowercase Letter
ValueCountFrequency (%)
e 948
12.5%
a 770
10.2%
o 657
 
8.7%
n 632
 
8.3%
r 590
 
7.8%
i 527
 
6.9%
l 487
 
6.4%
t 479
 
6.3%
s 407
 
5.4%
c 284
 
3.7%
Other values (15) 1805
23.8%
Other Punctuation
ValueCountFrequency (%)
' 1557
31.9%
. 930
19.1%
& 825
16.9%
, 671
13.8%
# 572
 
11.7%
/ 232
 
4.8%
@ 58
 
1.2%
! 22
 
0.5%
? 4
 
0.1%
: 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 486
15.9%
1 452
14.8%
3 374
12.2%
7 292
9.6%
4 277
9.1%
0 273
8.9%
5 256
8.4%
8 252
8.2%
6 212
6.9%
9 182
 
6.0%
Space Separator
ValueCountFrequency (%)
23171
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Math Symbol
ValueCountFrequency (%)
+ 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 180856
85.1%
Common 31628
 
14.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 17692
 
9.8%
E 17443
 
9.6%
R 12730
 
7.0%
O 12378
 
6.8%
I 12356
 
6.8%
N 11711
 
6.5%
S 11399
 
6.3%
T 10797
 
6.0%
C 9947
 
5.5%
L 9510
 
5.3%
Other values (41) 54893
30.4%
Common
ValueCountFrequency (%)
23171
73.3%
' 1557
 
4.9%
. 930
 
2.9%
& 825
 
2.6%
, 671
 
2.1%
# 572
 
1.8%
2 486
 
1.5%
1 452
 
1.4%
- 386
 
1.2%
3 374
 
1.2%
Other values (16) 2204
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23171
 
10.9%
A 17692
 
8.3%
E 17443
 
8.2%
R 12730
 
6.0%
O 12378
 
5.8%
I 12356
 
5.8%
N 11711
 
5.5%
S 11399
 
5.4%
T 10797
 
5.1%
C 9947
 
4.7%
Other values (67) 72860
34.3%
Distinct7414
Distinct (%)64.3%
Missing65
Missing (%)0.6%
Memory size90.7 KiB
2024-02-25T22:19:14.063753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length57
Median length45
Mean length17.348633
Min length2

Characters and Unicode

Total characters199943
Distinct characters80
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5144 ?
Unique (%)44.6%

Sample

1st rowSUBWAY SANDWICH & SALAD
2nd rowGEORGE E TAYLOR CHILD DEVELOPMENT CENTER
3rd rowCASA CENTRAL COMMUNITY SERVICE
4th rowDrummond
5th rowSTICKY KISS
ValueCountFrequency (%)
949
 
2.9%
the 548
 
1.7%
restaurant 531
 
1.6%
inc 419
 
1.3%
cafe 406
 
1.3%
food 376
 
1.2%
grill 322
 
1.0%
and 320
 
1.0%
school 281
 
0.9%
bar 279
 
0.9%
Other values (6914) 28043
86.4%
2024-02-25T22:19:14.696466image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21146
 
10.6%
A 17131
 
8.6%
E 16998
 
8.5%
R 12140
 
6.1%
O 11823
 
5.9%
I 11329
 
5.7%
S 11184
 
5.6%
N 10814
 
5.4%
T 10361
 
5.2%
C 8783
 
4.4%
Other values (70) 68234
34.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 165314
82.7%
Space Separator 21146
 
10.6%
Lowercase Letter 7016
 
3.5%
Other Punctuation 3898
 
1.9%
Decimal Number 1869
 
0.9%
Dash Punctuation 364
 
0.2%
Open Punctuation 153
 
0.1%
Close Punctuation 151
 
0.1%
Math Symbol 28
 
< 0.1%
Other Number 4
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 17131
 
10.4%
E 16998
 
10.3%
R 12140
 
7.3%
O 11823
 
7.2%
I 11329
 
6.9%
S 11184
 
6.8%
N 10814
 
6.5%
T 10361
 
6.3%
C 8783
 
5.3%
L 8782
 
5.3%
Other values (16) 45969
27.8%
Lowercase Letter
ValueCountFrequency (%)
e 896
12.8%
a 712
10.1%
o 591
 
8.4%
n 570
 
8.1%
r 534
 
7.6%
i 503
 
7.2%
l 481
 
6.9%
t 427
 
6.1%
s 353
 
5.0%
c 265
 
3.8%
Other values (16) 1684
24.0%
Other Punctuation
ValueCountFrequency (%)
' 1577
40.5%
& 805
20.7%
. 526
 
13.5%
/ 355
 
9.1%
, 286
 
7.3%
# 280
 
7.2%
@ 38
 
1.0%
! 19
 
0.5%
? 4
 
0.1%
¿ 4
 
0.1%
Other values (2) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
2 312
16.7%
1 304
16.3%
3 235
12.6%
7 200
10.7%
4 176
9.4%
0 168
9.0%
5 139
7.4%
8 125
6.7%
6 119
 
6.4%
9 91
 
4.9%
Space Separator
ValueCountFrequency (%)
21146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Math Symbol
ValueCountFrequency (%)
+ 28
100.0%
Other Number
ValueCountFrequency (%)
½ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 172330
86.2%
Common 27613
 
13.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 17131
 
9.9%
E 16998
 
9.9%
R 12140
 
7.0%
O 11823
 
6.9%
I 11329
 
6.6%
S 11184
 
6.5%
N 10814
 
6.3%
T 10361
 
6.0%
C 8783
 
5.1%
L 8782
 
5.1%
Other values (42) 52985
30.7%
Common
ValueCountFrequency (%)
21146
76.6%
' 1577
 
5.7%
& 805
 
2.9%
. 526
 
1.9%
- 364
 
1.3%
/ 355
 
1.3%
2 312
 
1.1%
1 304
 
1.1%
, 286
 
1.0%
# 280
 
1.0%
Other values (18) 1658
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 199931
> 99.9%
None 12
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21146
 
10.6%
A 17131
 
8.6%
E 16998
 
8.5%
R 12140
 
6.1%
O 11823
 
5.9%
I 11329
 
5.7%
S 11184
 
5.6%
N 10814
 
5.4%
T 10361
 
5.2%
C 8783
 
4.4%
Other values (67) 68222
34.1%
None
ValueCountFrequency (%)
½ 4
33.3%
ï 4
33.3%
¿ 4
33.3%

License #
Real number (ℝ)

Distinct8928
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2073433.3
Minimum0
Maximum4074227
Zeros28
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size90.7 KiB
2024-02-25T22:19:14.917629image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23660
Q11909555.5
median2422956.5
Q32652996.2
95-th percentile2872732.4
Maximum4074227
Range4074227
Interquartile range (IQR)743440.75

Descriptive statistics

Standard deviation897285.85
Coefficient of variation (CV)0.43275365
Kurtosis0.81353994
Mean2073433.3
Median Absolute Deviation (MAD)293485
Skewness-1.4138063
Sum2.4031092 × 1010
Variance8.0512189 × 1011
MonotonicityNot monotonic
2024-02-25T22:19:15.154766image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
0.2%
50418 7
 
0.1%
1170410 6
 
0.1%
2177832 6
 
0.1%
2712981 5
 
< 0.1%
1959609 5
 
< 0.1%
2431672 5
 
< 0.1%
2609157 5
 
< 0.1%
2492802 5
 
< 0.1%
67265 5
 
< 0.1%
Other values (8918) 11513
99.3%
ValueCountFrequency (%)
0 28
0.2%
9 1
 
< 0.1%
40 1
 
< 0.1%
62 1
 
< 0.1%
164 1
 
< 0.1%
265 1
 
< 0.1%
276 1
 
< 0.1%
319 1
 
< 0.1%
358 1
 
< 0.1%
385 1
 
< 0.1%
ValueCountFrequency (%)
4074227 1
< 0.1%
4073900 1
< 0.1%
4073704 1
< 0.1%
4025895 1
< 0.1%
3930636 1
< 0.1%
3910575 2
< 0.1%
3910452 1
< 0.1%
3869270 1
< 0.1%
3868956 1
< 0.1%
3846545 1
< 0.1%

Facility Type
Text

MISSING 

Distinct141
Distinct (%)1.2%
Missing136
Missing (%)1.2%
Memory size90.7 KiB
2024-02-25T22:19:15.487612image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length38
Median length10
Mean length11.300506
Min length3

Characters and Unicode

Total characters129436
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)0.6%

Sample

1st rowRestaurant
2nd rowDaycare (2 - 6 Years)
3rd rowRestaurant
4th rowSchool
5th rowRestaurant
ValueCountFrequency (%)
restaurant 7991
51.6%
store 1255
 
8.1%
grocery 1246
 
8.0%
school 680
 
4.4%
facility 397
 
2.6%
services 395
 
2.5%
children's 391
 
2.5%
daycare 282
 
1.8%
years 256
 
1.7%
2 255
 
1.6%
Other values (171) 2351
 
15.2%
2024-02-25T22:19:16.235081image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 17878
13.8%
a 17876
13.8%
r 14114
10.9%
e 13597
10.5%
s 9218
7.1%
n 9133
7.1%
R 8260
 
6.4%
u 8052
 
6.2%
o 4572
 
3.5%
4045
 
3.1%
Other values (55) 22691
17.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 106938
82.6%
Uppercase Letter 17195
 
13.3%
Space Separator 4045
 
3.1%
Decimal Number 439
 
0.3%
Other Punctuation 435
 
0.3%
Close Punctuation 138
 
0.1%
Open Punctuation 138
 
0.1%
Dash Punctuation 108
 
0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 8260
48.0%
S 2542
 
14.8%
G 1356
 
7.9%
C 743
 
4.3%
F 532
 
3.1%
D 395
 
2.3%
A 387
 
2.3%
T 347
 
2.0%
E 328
 
1.9%
Y 307
 
1.8%
Other values (16) 1998
 
11.6%
Lowercase Letter
ValueCountFrequency (%)
t 17878
16.7%
a 17876
16.7%
r 14114
13.2%
e 13597
12.7%
s 9218
8.6%
n 9133
8.5%
u 8052
7.5%
o 4572
 
4.3%
c 3021
 
2.8%
y 2070
 
1.9%
Other values (13) 7407
6.9%
Decimal Number
ValueCountFrequency (%)
2 258
58.8%
6 105
23.9%
1 25
 
5.7%
5 23
 
5.2%
8 19
 
4.3%
4 3
 
0.7%
7 2
 
0.5%
0 2
 
0.5%
3 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
' 394
90.6%
/ 39
 
9.0%
& 2
 
0.5%
Space Separator
ValueCountFrequency (%)
4045
100.0%
Close Punctuation
ValueCountFrequency (%)
) 138
100.0%
Open Punctuation
ValueCountFrequency (%)
( 138
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 124133
95.9%
Common 5303
 
4.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 17878
14.4%
a 17876
14.4%
r 14114
11.4%
e 13597
11.0%
s 9218
7.4%
n 9133
7.4%
R 8260
6.7%
u 8052
6.5%
o 4572
 
3.7%
c 3021
 
2.4%
Other values (39) 18412
14.8%
Common
ValueCountFrequency (%)
4045
76.3%
' 394
 
7.4%
2 258
 
4.9%
) 138
 
2.6%
( 138
 
2.6%
- 108
 
2.0%
6 105
 
2.0%
/ 39
 
0.7%
1 25
 
0.5%
5 23
 
0.4%
Other values (6) 30
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129436
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 17878
13.8%
a 17876
13.8%
r 14114
10.9%
e 13597
10.5%
s 9218
7.1%
n 9133
7.1%
R 8260
 
6.4%
u 8052
 
6.2%
o 4572
 
3.5%
4045
 
3.1%
Other values (55) 22691
17.5%

Risk
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing6
Missing (%)0.1%
Memory size90.7 KiB
Risk 1 (High)
8712 
Risk 2 (Medium)
1902 
Risk 3 (Low)
954 
All
 
15
Risk
 
1

Length

Max length15
Median length13
Mean length13.232303
Min length3

Characters and Unicode

Total characters153283
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowRisk 1 (High)
2nd rowRisk 1 (High)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 2 (Medium)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 8712
75.2%
Risk 2 (Medium) 1902
 
16.4%
Risk 3 (Low) 954
 
8.2%
All 15
 
0.1%
Risk 1
 
< 0.1%
(Missing) 6
 
0.1%

Length

2024-02-25T22:19:16.440187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-25T22:19:16.655763image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
risk 11569
33.3%
1 8712
25.1%
high 8712
25.1%
2 1902
 
5.5%
medium 1902
 
5.5%
3 954
 
2.7%
low 954
 
2.7%
all 15
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
23136
15.1%
i 22183
14.5%
R 11569
7.5%
s 11569
7.5%
k 11569
7.5%
( 11568
7.5%
) 11568
7.5%
1 8712
 
5.7%
H 8712
 
5.7%
g 8712
 
5.7%
Other values (13) 23985
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 72291
47.2%
Uppercase Letter 23152
 
15.1%
Space Separator 23136
 
15.1%
Open Punctuation 11568
 
7.5%
Close Punctuation 11568
 
7.5%
Decimal Number 11568
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 22183
30.7%
s 11569
16.0%
k 11569
16.0%
g 8712
 
12.1%
h 8712
 
12.1%
d 1902
 
2.6%
m 1902
 
2.6%
u 1902
 
2.6%
e 1902
 
2.6%
o 954
 
1.3%
Other values (2) 984
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
R 11569
50.0%
H 8712
37.6%
M 1902
 
8.2%
L 954
 
4.1%
A 15
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 8712
75.3%
2 1902
 
16.4%
3 954
 
8.2%
Space Separator
ValueCountFrequency (%)
23136
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 95443
62.3%
Common 57840
37.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 22183
23.2%
R 11569
12.1%
s 11569
12.1%
k 11569
12.1%
H 8712
 
9.1%
g 8712
 
9.1%
h 8712
 
9.1%
d 1902
 
2.0%
m 1902
 
2.0%
u 1902
 
2.0%
Other values (7) 6711
 
7.0%
Common
ValueCountFrequency (%)
23136
40.0%
( 11568
20.0%
) 11568
20.0%
1 8712
 
15.1%
2 1902
 
3.3%
3 954
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153283
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23136
15.1%
i 22183
14.5%
R 11569
7.5%
s 11569
7.5%
k 11569
7.5%
( 11568
7.5%
) 11568
7.5%
1 8712
 
5.7%
H 8712
 
5.7%
g 8712
 
5.7%
Other values (13) 23985
15.6%
Distinct7162
Distinct (%)61.8%
Missing1
Missing (%)< 0.1%
Memory size90.7 KiB
2024-02-25T22:19:17.007703image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length52
Median length35
Mean length18.653723
Min length10

Characters and Unicode

Total characters216178
Distinct characters67
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4483 ?
Unique (%)38.7%

Sample

1st row2352 W CERMAK RD
2nd row3232 W DIVISION ST
3rd row1343 N CALIFORNIA AVE
4th row1845 W Cortland ST
5th row925 N ASHLAND AVE
ValueCountFrequency (%)
ave 5436
 
11.6%
w 4628
 
9.9%
st 4162
 
8.9%
n 3661
 
7.8%
s 2457
 
5.2%
e 840
 
1.8%
rd 671
 
1.4%
clark 441
 
0.9%
milwaukee 291
 
0.6%
western 287
 
0.6%
Other values (5022) 23979
51.2%
2024-02-25T22:19:17.596945image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46852
21.7%
E 13168
 
6.1%
A 12711
 
5.9%
S 10479
 
4.8%
N 9380
 
4.3%
T 8653
 
4.0%
1 8598
 
4.0%
0 7104
 
3.3%
R 6922
 
3.2%
W 6824
 
3.2%
Other values (57) 85487
39.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 111969
51.8%
Decimal Number 52073
24.1%
Space Separator 46852
21.7%
Lowercase Letter 3500
 
1.6%
Dash Punctuation 1306
 
0.6%
Open Punctuation 217
 
0.1%
Close Punctuation 217
 
0.1%
Other Punctuation 44
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 13168
11.8%
A 12711
11.4%
S 10479
 
9.4%
N 9380
 
8.4%
T 8653
 
7.7%
R 6922
 
6.2%
W 6824
 
6.1%
V 6506
 
5.8%
L 5407
 
4.8%
O 4980
 
4.4%
Other values (16) 26939
24.1%
Lowercase Letter
ValueCountFrequency (%)
e 395
11.3%
a 367
10.5%
t 332
9.5%
n 307
8.8%
r 300
 
8.6%
o 274
 
7.8%
i 255
 
7.3%
l 228
 
6.5%
h 161
 
4.6%
s 129
 
3.7%
Other values (14) 752
21.5%
Decimal Number
ValueCountFrequency (%)
1 8598
16.5%
0 7104
13.6%
3 6363
12.2%
2 6261
12.0%
5 6099
11.7%
4 5204
10.0%
6 3887
7.5%
7 3305
 
6.3%
8 2628
 
5.0%
9 2624
 
5.0%
Other Punctuation
ValueCountFrequency (%)
/ 29
65.9%
. 11
 
25.0%
& 4
 
9.1%
Space Separator
ValueCountFrequency (%)
46852
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 115469
53.4%
Common 100709
46.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 13168
11.4%
A 12711
11.0%
S 10479
 
9.1%
N 9380
 
8.1%
T 8653
 
7.5%
R 6922
 
6.0%
W 6824
 
5.9%
V 6506
 
5.6%
L 5407
 
4.7%
O 4980
 
4.3%
Other values (40) 30439
26.4%
Common
ValueCountFrequency (%)
46852
46.5%
1 8598
 
8.5%
0 7104
 
7.1%
3 6363
 
6.3%
2 6261
 
6.2%
5 6099
 
6.1%
4 5204
 
5.2%
6 3887
 
3.9%
7 3305
 
3.3%
8 2628
 
2.6%
Other values (7) 4408
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 216178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46852
21.7%
E 13168
 
6.1%
A 12711
 
5.9%
S 10479
 
4.8%
N 9380
 
4.3%
T 8653
 
4.0%
1 8598
 
4.0%
0 7104
 
3.3%
R 6922
 
3.2%
W 6824
 
3.2%
Other values (57) 85487
39.5%

City
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)0.1%
Missing12
Missing (%)0.1%
Memory size90.7 KiB
CHICAGO
11544 
Chicago
 
14
chicago
 
5
SCHAUMBURG
 
3
MERRIVILLE
 
2
Other values (9)
 
10

Length

Max length19
Median length7
Mean length7.0037139
Min length6

Characters and Unicode

Total characters81089
Distinct characters30
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO

Common Values

ValueCountFrequency (%)
CHICAGO 11544
99.6%
Chicago 14
 
0.1%
chicago 5
 
< 0.1%
SCHAUMBURG 3
 
< 0.1%
MERRIVILLE 2
 
< 0.1%
BERWYN 2
 
< 0.1%
NAPERVILLE 1
 
< 0.1%
OAK PARK 1
 
< 0.1%
TORRANCE 1
 
< 0.1%
LOS ANGELES 1
 
< 0.1%
Other values (4) 4
 
< 0.1%
(Missing) 12
 
0.1%

Length

2024-02-25T22:19:17.821669image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
chicago 11564
99.9%
schaumburg 3
 
< 0.1%
merriville 2
 
< 0.1%
berwyn 2
 
< 0.1%
park 2
 
< 0.1%
naperville 1
 
< 0.1%
oak 1
 
< 0.1%
torrance 1
 
< 0.1%
los 1
 
< 0.1%
angeles 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
C 23115
28.5%
A 11557
14.3%
I 11553
14.2%
G 11552
14.2%
O 11552
14.2%
H 11551
14.2%
c 26
 
< 0.1%
h 20
 
< 0.1%
i 20
 
< 0.1%
a 20
 
< 0.1%
Other values (20) 123
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 80959
99.8%
Lowercase Letter 126
 
0.2%
Space Separator 3
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 23115
28.6%
A 11557
14.3%
I 11553
14.3%
G 11552
14.3%
O 11552
14.3%
H 11551
14.3%
R 15
 
< 0.1%
E 12
 
< 0.1%
L 8
 
< 0.1%
B 6
 
< 0.1%
Other values (12) 38
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
c 26
20.6%
h 20
15.9%
i 20
15.9%
a 20
15.9%
g 20
15.9%
o 20
15.9%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 81085
> 99.9%
Common 4
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
C 23115
28.5%
A 11557
14.3%
I 11553
14.2%
G 11552
14.2%
O 11552
14.2%
H 11551
14.2%
c 26
 
< 0.1%
h 20
 
< 0.1%
i 20
 
< 0.1%
a 20
 
< 0.1%
Other values (18) 119
 
0.1%
Common
ValueCountFrequency (%)
3
75.0%
. 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81089
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
C 23115
28.5%
A 11557
14.3%
I 11553
14.2%
G 11552
14.2%
O 11552
14.2%
H 11551
14.2%
c 26
 
< 0.1%
h 20
 
< 0.1%
i 20
 
< 0.1%
a 20
 
< 0.1%
Other values (20) 123
 
0.2%

State
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing8
Missing (%)0.1%
Memory size90.7 KiB
IL
11578 
IN
 
2
CA
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters23164
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 11578
99.9%
IN 2
 
< 0.1%
CA 2
 
< 0.1%
(Missing) 8
 
0.1%

Length

2024-02-25T22:19:18.007487image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-25T22:19:18.191854image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
il 11578
> 99.9%
in 2
 
< 0.1%
ca 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
I 11580
50.0%
L 11578
50.0%
N 2
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 23164
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 11580
50.0%
L 11578
50.0%
N 2
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 23164
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 11580
50.0%
L 11578
50.0%
N 2
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 11580
50.0%
L 11578
50.0%
N 2
 
< 0.1%
C 2
 
< 0.1%
A 2
 
< 0.1%

Zip
Real number (ℝ)

SKEWED 

Distinct68
Distinct (%)0.6%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60631.619
Minimum46410
Maximum90504
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size90.7 KiB
2024-02-25T22:19:18.351779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum46410
5-th percentile60605
Q160613
median60625
Q360643
95-th percentile60659
Maximum90504
Range44094
Interquartile range (IQR)30

Descriptive statistics

Standard deviation432.59277
Coefficient of variation (CV)0.007134772
Kurtosis4012.8516
Mean60631.619
Median Absolute Deviation (MAD)14
Skewness49.478993
Sum7.0265983 × 108
Variance187136.51
MonotonicityNot monotonic
2024-02-25T22:19:18.557254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60647 469
 
4.0%
60622 403
 
3.5%
60657 400
 
3.5%
60618 393
 
3.4%
60614 386
 
3.3%
60607 373
 
3.2%
60608 372
 
3.2%
60611 371
 
3.2%
60654 335
 
2.9%
60640 309
 
2.7%
Other values (58) 7778
67.1%
ValueCountFrequency (%)
46410 2
 
< 0.1%
60173 1
 
< 0.1%
60193 2
 
< 0.1%
60302 1
 
< 0.1%
60402 2
 
< 0.1%
60565 1
 
< 0.1%
60601 187
1.6%
60602 97
0.8%
60603 105
0.9%
60604 77
0.7%
ValueCountFrequency (%)
90504 1
 
< 0.1%
90067 1
 
< 0.1%
60827 10
 
0.1%
60707 62
 
0.5%
60706 1
 
< 0.1%
60666 112
 
1.0%
60661 159
 
1.4%
60660 203
1.8%
60659 222
1.9%
60657 400
3.5%
Distinct1350
Distinct (%)11.6%
Missing1
Missing (%)< 0.1%
Memory size90.7 KiB
Minimum2018-08-03 00:00:00
Maximum2024-02-14 00:00:00
2024-02-25T22:19:18.765432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:18.968405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Type
Categorical

Distinct14
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size90.7 KiB
Canvass
5594 
License
1918 
Canvass Re-Inspection
1325 
Complaint
821 
Non-Inspection
695 
Other values (9)
1236 

Length

Max length38
Median length7
Mean length10.710501
Min length7

Characters and Unicode

Total characters124124
Distinct characters31
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st rowCanvass Re-Inspection
2nd rowLicense Re-Inspection
3rd rowCanvass
4th rowCanvass Re-Inspection
5th rowLicense Re-Inspection

Common Values

ValueCountFrequency (%)
Canvass 5594
48.3%
License 1918
 
16.5%
Canvass Re-Inspection 1325
 
11.4%
Complaint 821
 
7.1%
Non-Inspection 695
 
6.0%
License Re-Inspection 489
 
4.2%
Complaint Re-Inspection 453
 
3.9%
Short Form Complaint 242
 
2.1%
Recent Inspection 24
 
0.2%
Suspected Food Poisoning 22
 
0.2%
Other values (4) 6
 
0.1%

Length

2024-02-25T22:19:19.179513image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
canvass 6919
48.0%
license 2407
 
16.7%
re-inspection 2269
 
15.7%
complaint 1516
 
10.5%
non-inspection 695
 
4.8%
short 242
 
1.7%
form 242
 
1.7%
poisoning 24
 
0.2%
food 24
 
0.2%
suspected 24
 
0.2%
Other values (8) 56
 
0.4%

Most occurring characters

ValueCountFrequency (%)
s 19285
15.5%
n 17588
14.2%
a 15359
12.4%
e 10172
8.2%
C 8436
 
6.8%
i 6964
 
5.6%
v 6921
 
5.6%
o 5783
 
4.7%
c 5444
 
4.4%
t 4800
 
3.9%
Other values (21) 23372
18.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 100949
81.3%
Uppercase Letter 17380
 
14.0%
Dash Punctuation 2964
 
2.4%
Space Separator 2829
 
2.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 19285
19.1%
n 17588
17.4%
a 15359
15.2%
e 10172
10.1%
i 6964
 
6.9%
v 6921
 
6.9%
o 5783
 
5.7%
c 5444
 
5.4%
t 4800
 
4.8%
p 4529
 
4.5%
Other values (8) 4104
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 8436
48.5%
I 2986
 
17.2%
L 2407
 
13.8%
R 2295
 
13.2%
N 697
 
4.0%
F 267
 
1.5%
S 267
 
1.5%
P 24
 
0.1%
E 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 2964
100.0%
Space Separator
ValueCountFrequency (%)
2829
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 118329
95.3%
Common 5795
 
4.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 19285
16.3%
n 17588
14.9%
a 15359
13.0%
e 10172
8.6%
C 8436
7.1%
i 6964
 
5.9%
v 6921
 
5.8%
o 5783
 
4.9%
c 5444
 
4.6%
t 4800
 
4.1%
Other values (17) 17577
14.9%
Common
ValueCountFrequency (%)
- 2964
51.1%
2829
48.8%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 19285
15.5%
n 17588
14.2%
a 15359
12.4%
e 10172
8.2%
C 8436
 
6.8%
i 6964
 
5.6%
v 6921
 
5.6%
o 5783
 
4.7%
c 5444
 
4.4%
t 4800
 
3.9%
Other values (21) 23372
18.8%

Results
Categorical

Distinct7
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size90.7 KiB
Pass
5123 
Out of Business
2013 
No Entry
1541 
Fail
1175 
Pass w/ Conditions
1167 
Other values (2)
570 

Length

Max length20
Median length4
Mean length8.1030287
Min length4

Characters and Unicode

Total characters93906
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass
2nd rowPass
3rd rowPass
4th rowPass
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 5123
44.2%
Out of Business 2013
 
17.4%
No Entry 1541
 
13.3%
Fail 1175
 
10.1%
Pass w/ Conditions 1167
 
10.1%
Not Ready 565
 
4.9%
Business Not Located 5
 
< 0.1%
(Missing) 1
 
< 0.1%

Length

2024-02-25T22:19:19.367131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-25T22:19:19.586997image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
pass 6290
31.3%
business 2018
 
10.1%
out 2013
 
10.0%
of 2013
 
10.0%
no 1541
 
7.7%
entry 1541
 
7.7%
fail 1175
 
5.9%
w 1167
 
5.8%
conditions 1167
 
5.8%
not 570
 
2.8%
Other values (2) 570
 
2.8%

Most occurring characters

ValueCountFrequency (%)
s 19801
21.1%
8476
 
9.0%
a 8035
 
8.6%
o 6463
 
6.9%
P 6290
 
6.7%
n 5893
 
6.3%
i 5527
 
5.9%
t 5296
 
5.6%
u 4031
 
4.3%
e 2588
 
2.8%
Other values (16) 21506
22.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 67378
71.8%
Uppercase Letter 16885
 
18.0%
Space Separator 8476
 
9.0%
Other Punctuation 1167
 
1.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 19801
29.4%
a 8035
11.9%
o 6463
 
9.6%
n 5893
 
8.7%
i 5527
 
8.2%
t 5296
 
7.9%
u 4031
 
6.0%
e 2588
 
3.8%
y 2106
 
3.1%
f 2013
 
3.0%
Other values (5) 5625
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
P 6290
37.3%
N 2111
 
12.5%
B 2018
 
12.0%
O 2013
 
11.9%
E 1541
 
9.1%
F 1175
 
7.0%
C 1167
 
6.9%
R 565
 
3.3%
L 5
 
< 0.1%
Space Separator
ValueCountFrequency (%)
8476
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1167
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 84263
89.7%
Common 9643
 
10.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
s 19801
23.5%
a 8035
9.5%
o 6463
 
7.7%
P 6290
 
7.5%
n 5893
 
7.0%
i 5527
 
6.6%
t 5296
 
6.3%
u 4031
 
4.8%
e 2588
 
3.1%
N 2111
 
2.5%
Other values (14) 18228
21.6%
Common
ValueCountFrequency (%)
8476
87.9%
/ 1167
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
s 19801
21.1%
8476
 
9.0%
a 8035
 
8.6%
o 6463
 
6.9%
P 6290
 
6.7%
n 5893
 
6.3%
i 5527
 
5.9%
t 5296
 
5.6%
u 4031
 
4.3%
e 2588
 
2.8%
Other values (16) 21506
22.9%

Violations
Text

MISSING 

Distinct4278
Distinct (%)99.7%
Missing7300
Missing (%)63.0%
Memory size90.7 KiB
2024-02-25T22:19:19.967240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length9325
Median length4424
Mean length1345.1298
Min length49

Characters and Unicode

Total characters5770607
Distinct characters89
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4267 ?
Unique (%)99.5%

Sample

1st row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14 OBSERVED NO HAND WASHING SIGN AT THE REAR HAND WASHING SINK. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE MANAGER ON DUTY WITHOUT STATE ALERGENT CERTIFICATE. INSTRUCTED ALL MANAGERS MUST MEET REQUIREMENTS.
2nd row23. PROPER DATE MARKING AND DISPOSITION - Comments: 3-501.17 OBSERVED READY-TO-EAT TCS FOODS (MACARONI SALAD) IN A REFRIGERATOR WITHOUT LABELS CONTAINING THE PRODUCT DISCARD DATE. INSTRUCTED TO PROVIDE LABELS WITH PRODUCT DISCARD DATES FOR ALL TCS RTE FOODS THAT ARE HELD FOR MORE THAN 24 HOURS IN A REFRIGERATOR. PRIORITY FOUNDATION. CITATION ISSUED 7-38-005. | 37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SPICES/DRY STORAGE (RICE) OUT OF THE ORIGINAL PACKAGING IN CONTAINERS WITHOUT LABELS. INSTRUCTED TO LABEL ALL SPICE/DRY STORAGE CONTAINERS. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.111 OBSERVED EVIDENCE OF RODENT ACTIVITY ON SITE. OBSERVED ABOUT 200 RODENT DROPPINGS LOCATED BEHIND THE COOKING EQUIPMENT AND UNDER ALL DRY STORAGE SHELVES. OBSERVED ABOUT 150 RODENT DROPPINGS IN THE HOT WATER HEATER ROOM, BEHIND REACH IN FREEZERS, AND REFRIGERATION UNITS. OBSERVED ABOUT 100 RODENT DROPPINGS INSIDE OF ALL FRYERS. INSTRUCTED TO ELIMINATE RODENT ACTIVITY, CLEAN AND SANITIZE AFFECTED AREAS AND RECOMMENDED CONTACTING PEST CONTROL FOR A SERVICE. PRIORITY FOUNDATION. CITATION ISSUED 7-38-020(A). | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-202.15 OBSERVED FRONT ENTRANCE DOOR WITH A 1/4 INCH GAP AT THE BOTTOM. INSTRUCTED TO MAKE SAID FRONT ENTRANCE DOOR RODENT PROOFED AND TIGHT FITTING. | 45. SINGLE-USE/SINGLE-SERVICE ARTICLES: PROPERLY STORED & USED - Comments: 4-502.13 OBSERVED SINGLE-USE CONTAINERS (SOY SAUCE CONTAINERS) AND SINGLE-USE GROCERY BAGS BEING USED FOR FOOD STORAGE IN THE REACH-IN FREEZERS AND THE WALK-IN COOLER. INSTRUCTED TO ONLY USE FOOD-GRADE STORAGE CONTAINERS AND FOOD-GRADE STORAGE BAGS FOR ALL FOOD STORAGE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ALL NON-FOOD CONTACT SURFACES WITH EXCESSIVE ACCUMULATED FOOD DEBRIS LOCATED ON THE HANDLES OF ALL REFRIGERATION UNITS AND PREP COOLERS, INTERIOR OF ALL REFRIGERATION UNITS AND PREP COOLERS, CUTTING BOARDS WITH DARK GROOVES USED FOR SALAD PREPARATION, INTERIOR OF ALL FRYERS WITH EXCESSIVE ACCUMULATED FOOD AND GREASE DEBRIS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: 5-501.17 OBSERVED NO COVERED RECEPTACLES INSIDE REAR EMPLOYEE'S TOILET ROOMS. INSTRUCTED TO PROVIDE. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: 5-501.113 OBSERVED FACILITY USING SINGLE-USE FOOD STORAGE CONTAINERS FOR FOOD PREP AREA RECEPTACLES AND WITHOUT LIDS. INSTRUCTED ALL REFUSE RECEPTACLES SHALL BE KEPT COVERED AND NOT SINGLE-USE FOOD STORAGE CONTAINERS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.114 OBSERVED EXCESSIVE CLUTTER THROUGHOUT THE FOOD PREP AREA. INSTRUCTED TO ORGANIZE AND - OR REMOVE ALL CLUTTER. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.12 OBSERVED FLOORS THROUGHOUT THE FOOD PREP AREA WITH ACCUMULATED DIRT DEBRIS ALONG THE WALLS AND IN ALL CORNERS, ACCUMULATED GREASE AND FOOD DEBRIS UNDER ALL COOKING EQUIPMENT. OBSERVED ACCUMULATED DUST ON THE WALLS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER ON DUTY WITHOUT AN ALLERGEN TRAINING CERTIFICATE. INSTRUCTED TO MEET REQUIREMENTS. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 8-304.11(A) OBSERVED NO MOST RECENT INSPECTION REPORT SUMMARY NOT POSTED FOR THE PUBLIC'S VIEW. INSTRUCTED ALWAYS TO POST THE MOST RECENT INSPECTION REPORT SUMMARY FOR THE PUBLIC'S VIEW AT ALL TIMES. PRIORITY FOUNDATION. CITATION ISSUED 7-42-010(B).
3rd row48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED 3-COMPARTMENT SINK NOT IN PROPER WORKING ORDER. WHEN WATER IS DRAINED IN ONE COMPARTMENT, ANOTHER ONE FLOODS BEFORE GOING BACK DOWN. INSTRUCTED MANAGER TO SERVICE 3-COMPARTMENT SINK. PRIORITY FOUNDATION VIOLATION 7-38-025 CITATION ISSUED.
4th row55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED LEAK FROM CEILING ABOVE SERVING STATION ON FLOOR 6. INSRUCTED MANAGER TO REPAIR. | 60. PREVIOUS CORE VIOLATION CORRECTED - Comments: OBSERVED PREVIOUS CORE VIOLATION NOT CORRECTED WITHIN SPECIFIED TIMEFRAME. REPORT #2572863 DATED MARCH 21 2023 INSTRUCTED FACILITY TO INSTALL GREASE TRAP FOR 3 COMPARTMENT SINK IN BASEMENT KITCHEN. OBSERVED 3 COMPARTMENT SINK IN BASEMENT KITCHEN WITH NO GREASE TRAP. INSTRUCTED MANAGER TO RESOLVE PREVIOUS CORE VIOLATION. PRIORITY FOUNDATION VIOLATION 7-42-090 NO CITATION ISSUED.
5th row55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED BROKEN WALL BASE IN PREP AREA UNDERNEATH CABINETS AND NEAR STORAGE CART. INSTRUCTED TO REPAIR OR REPLACE.
ValueCountFrequency (%)
56051
 
6.5%
and 30960
 
3.6%
comments 23228
 
2.7%
to 19857
 
2.3%
the 18329
 
2.1%
food 16296
 
1.9%
in 15436
 
1.8%
observed 11797
 
1.4%
of 11596
 
1.3%
instructed 11370
 
1.3%
Other values (15741) 649911
75.1%
2024-02-25T22:19:20.610815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
872244
15.1%
E 487208
 
8.4%
O 366814
 
6.4%
I 357074
 
6.2%
N 351780
 
6.1%
A 350217
 
6.1%
T 340757
 
5.9%
R 298520
 
5.2%
S 267391
 
4.6%
D 235265
 
4.1%
Other values (79) 1843337
31.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 4277539
74.1%
Space Separator 872244
 
15.1%
Lowercase Letter 224583
 
3.9%
Other Punctuation 172482
 
3.0%
Decimal Number 137782
 
2.4%
Dash Punctuation 52815
 
0.9%
Math Symbol 18385
 
0.3%
Open Punctuation 7151
 
0.1%
Close Punctuation 6943
 
0.1%
Currency Symbol 422
 
< 0.1%
Other values (3) 261
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
m 47644
21.2%
e 30245
13.5%
o 29205
13.0%
t 28882
12.9%
n 28438
12.7%
s 27532
12.3%
i 5093
 
2.3%
a 4880
 
2.2%
r 4583
 
2.0%
d 2941
 
1.3%
Other values (17) 15140
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
E 487208
11.4%
O 366814
 
8.6%
I 357074
 
8.3%
N 351780
 
8.2%
A 350217
 
8.2%
T 340757
 
8.0%
R 298520
 
7.0%
S 267391
 
6.3%
D 235265
 
5.5%
L 187691
 
4.4%
Other values (16) 1034822
24.2%
Other Punctuation
ValueCountFrequency (%)
. 84594
49.0%
, 30025
 
17.4%
: 28106
 
16.3%
& 13320
 
7.7%
/ 6432
 
3.7%
; 5706
 
3.3%
# 2252
 
1.3%
' 1578
 
0.9%
* 329
 
0.2%
@ 93
 
0.1%
Other values (4) 47
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 23627
17.1%
5 22266
16.2%
1 19096
13.9%
3 18129
13.2%
2 12132
8.8%
7 11714
8.5%
4 10770
7.8%
8 10278
7.5%
6 6149
 
4.5%
9 3621
 
2.6%
Math Symbol
ValueCountFrequency (%)
| 18384
> 99.9%
< 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 7148
> 99.9%
[ 3
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 6942
> 99.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
872244
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52815
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 422
100.0%
Control
ValueCountFrequency (%)
241
100.0%
Other Number
ValueCountFrequency (%)
½ 18
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4502122
78.0%
Common 1268485
 
22.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 487208
 
10.8%
O 366814
 
8.1%
I 357074
 
7.9%
N 351780
 
7.8%
A 350217
 
7.8%
T 340757
 
7.6%
R 298520
 
6.6%
S 267391
 
5.9%
D 235265
 
5.2%
L 187691
 
4.2%
Other values (43) 1259405
28.0%
Common
ValueCountFrequency (%)
872244
68.8%
. 84594
 
6.7%
- 52815
 
4.2%
, 30025
 
2.4%
: 28106
 
2.2%
0 23627
 
1.9%
5 22266
 
1.8%
1 19096
 
1.5%
| 18384
 
1.4%
3 18129
 
1.4%
Other values (26) 99199
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5770553
> 99.9%
None 54
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
872244
15.1%
E 487208
 
8.4%
O 366814
 
6.4%
I 357074
 
6.2%
N 351780
 
6.1%
A 350217
 
6.1%
T 340757
 
5.9%
R 298520
 
5.2%
S 267391
 
4.6%
D 235265
 
4.1%
Other values (76) 1843283
31.9%
None
ValueCountFrequency (%)
ï 18
33.3%
¿ 18
33.3%
½ 18
33.3%

Latitude
Real number (ℝ)

HIGH CORRELATION 

Distinct7047
Distinct (%)61.1%
Missing63
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean41.884818
Minimum41.649364
Maximum42.019867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size90.7 KiB
2024-02-25T22:19:20.847921image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41.649364
5-th percentile41.735929
Q141.848459
median41.893481
Q341.939992
95-th percentile41.997437
Maximum42.019867
Range0.37050289
Interquartile range (IQR)0.091533043

Descriptive statistics

Standard deviation0.078147033
Coefficient of variation (CV)0.0018657604
Kurtosis-0.16257745
Mean41.884818
Median Absolute Deviation (MAD)0.046357127
Skewness-0.64173464
Sum482806.29
Variance0.0061069587
MonotonicityNot monotonic
2024-02-25T22:19:21.137837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42.00875077 109
 
0.9%
41.78932932 62
 
0.5%
41.85045102 40
 
0.3%
41.88418751 30
 
0.3%
41.88199434 24
 
0.2%
41.89209414 21
 
0.2%
41.8839051 19
 
0.2%
41.88807428 17
 
0.1%
41.89774086 16
 
0.1%
41.88342264 15
 
0.1%
Other values (7037) 11174
96.4%
(Missing) 63
 
0.5%
ValueCountFrequency (%)
41.64936399 1
 
< 0.1%
41.6495578 1
 
< 0.1%
41.65017306 3
< 0.1%
41.65239789 2
< 0.1%
41.65358676 1
 
< 0.1%
41.6536366 1
 
< 0.1%
41.65367428 1
 
< 0.1%
41.65376037 2
< 0.1%
41.6538936 1
 
< 0.1%
41.65455937 2
< 0.1%
ValueCountFrequency (%)
42.01986688 1
 
< 0.1%
42.01947448 2
< 0.1%
42.019439 4
< 0.1%
42.01942097 1
 
< 0.1%
42.01942088 3
< 0.1%
42.01942015 1
 
< 0.1%
42.01940787 1
 
< 0.1%
42.01939474 1
 
< 0.1%
42.01935414 1
 
< 0.1%
42.0193532 3
< 0.1%

Longitude
Real number (ℝ)

HIGH CORRELATION 

Distinct7047
Distinct (%)61.1%
Missing63
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-87.675754
Minimum-87.906874
Maximum-87.525712
Zeros0
Zeros (%)0.0%
Negative11527
Negative (%)99.5%
Memory size90.7 KiB
2024-02-25T22:19:21.540562image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.776536
Q1-87.706059
median-87.665706
Q3-87.635591
95-th percentile-87.602673
Maximum-87.525712
Range0.38116171
Interquartile range (IQR)0.070468462

Descriptive statistics

Standard deviation0.056510574
Coefficient of variation (CV)-0.0006445405
Kurtosis2.0251127
Mean-87.675754
Median Absolute Deviation (MAD)0.03348523
Skewness-0.95106137
Sum-1010638.4
Variance0.003193445
MonotonicityNot monotonic
2024-02-25T22:19:21.935272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.90687413 109
 
0.9%
-87.74164564 62
 
0.5%
-87.65879786 40
 
0.3%
-87.64111967 30
 
0.3%
-87.63975868 24
 
0.2%
-87.61156988 21
 
0.2%
-87.70605925 19
 
0.2%
-87.6349552 17
 
0.1%
-87.62396132 16
 
0.1%
-87.62802165 15
 
0.1%
Other values (7037) 11174
96.4%
(Missing) 63
 
0.5%
ValueCountFrequency (%)
-87.90687413 109
0.9%
-87.90530913 3
 
< 0.1%
-87.86302998 1
 
< 0.1%
-87.84631989 1
 
< 0.1%
-87.84631558 1
 
< 0.1%
-87.84567442 2
 
< 0.1%
-87.8448585 3
 
< 0.1%
-87.84407563 3
 
< 0.1%
-87.84247839 2
 
< 0.1%
-87.83916756 7
 
0.1%
ValueCountFrequency (%)
-87.52571243 1
< 0.1%
-87.5261364 1
< 0.1%
-87.52667081 1
< 0.1%
-87.52694018 1
< 0.1%
-87.52749847 1
< 0.1%
-87.5325565 1
< 0.1%
-87.53264519 1
< 0.1%
-87.5330074 1
< 0.1%
-87.53301251 1
< 0.1%
-87.53326501 2
< 0.1%
Distinct7047
Distinct (%)61.1%
Missing63
Missing (%)0.5%
Memory size90.7 KiB
2024-02-25T22:19:22.428849image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.056303
Min length34

Characters and Unicode

Total characters450202
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4366 ?
Unique (%)37.9%

Sample

1st row(41.852142589161744, -87.68536057746589)
2nd row(41.90292929858984, -87.70804857041449)
3rd row(41.90598597077873, -87.69680735572291)
4th row(41.91588633998172, -87.67449563016454)
5th row(41.898687455164605, -87.66721715934328)
ValueCountFrequency (%)
42.00875076599798 109
 
0.5%
87.90687413400109 109
 
0.5%
41.789329323265385 62
 
0.3%
87.74164564419637 62
 
0.3%
41.85045102427 40
 
0.2%
87.65879785567869 40
 
0.2%
41.884187507127805 30
 
0.1%
87.64111966683218 30
 
0.1%
41.88199433820508 24
 
0.1%
87.6397586848809 24
 
0.1%
Other values (14084) 22524
97.7%
2024-02-25T22:19:23.148041image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 46814
10.4%
7 46050
10.2%
4 42811
9.5%
1 40062
8.9%
6 39170
8.7%
9 34862
7.7%
5 31323
 
7.0%
2 30508
 
6.8%
3 29828
 
6.6%
0 28085
 
6.2%
Other values (6) 80689
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 369513
82.1%
Other Punctuation 34581
 
7.7%
Open Punctuation 11527
 
2.6%
Space Separator 11527
 
2.6%
Dash Punctuation 11527
 
2.6%
Close Punctuation 11527
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 46814
12.7%
7 46050
12.5%
4 42811
11.6%
1 40062
10.8%
6 39170
10.6%
9 34862
9.4%
5 31323
8.5%
2 30508
8.3%
3 29828
8.1%
0 28085
7.6%
Other Punctuation
ValueCountFrequency (%)
. 23054
66.7%
, 11527
33.3%
Open Punctuation
ValueCountFrequency (%)
( 11527
100.0%
Space Separator
ValueCountFrequency (%)
11527
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11527
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11527
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450202
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 46814
10.4%
7 46050
10.2%
4 42811
9.5%
1 40062
8.9%
6 39170
8.7%
9 34862
7.7%
5 31323
 
7.0%
2 30508
 
6.8%
3 29828
 
6.6%
0 28085
 
6.2%
Other values (6) 80689
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450202
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 46814
10.4%
7 46050
10.2%
4 42811
9.5%
1 40062
8.9%
6 39170
8.7%
9 34862
7.7%
5 31323
 
7.0%
2 30508
 
6.8%
3 29828
 
6.6%
0 28085
 
6.2%
Other values (6) 80689
17.9%

Interactions

2024-02-25T22:19:09.485652image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:05.071372image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:06.059964image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:07.116578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:08.160815image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:09.780032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:05.283552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:06.247779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:07.417726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:08.347596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:10.101727image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:05.483253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:06.466834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:07.609358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:08.549868image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:10.420933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:05.660536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:06.647053image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:07.777444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:08.899933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:10.736501image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:05.863390image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:06.860896image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:07.961139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-25T22:19:09.131127image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-25T22:19:23.346293image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
CityInspection IDInspection TypeLatitudeLicense #LongitudeResultsRiskStateZip
City1.0000.0090.049-0.0300.0020.0160.0000.0101.000-0.005
Inspection ID0.0091.0000.127-0.0130.186-0.0110.1320.0250.000-0.014
Inspection Type0.0490.1271.000-0.0310.3260.0310.3920.1420.000-0.035
Latitude-0.030-0.013-0.0311.000-0.042-0.4130.0540.0491.0000.298
License #0.0020.1860.326-0.0421.0000.0210.1150.0790.000-0.026
Longitude0.016-0.0110.031-0.4130.0211.0000.0540.0591.000-0.410
Results0.0000.1320.3920.0540.1150.0541.0000.1180.000-0.007
Risk0.0100.0250.1420.0490.0790.0590.1181.0000.014-0.009
State1.0000.0000.0001.0000.0001.0000.0000.0141.000-0.032
Zip-0.005-0.014-0.0350.298-0.026-0.410-0.007-0.009-0.0321.000

Missing values

2024-02-25T22:19:11.147520image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-25T22:19:11.606156image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-25T22:19:12.047314image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02589562SUBWAY SANDWICH & SALADSUBWAY SANDWICH & SALAD1243910RestaurantRisk 1 (High)2352 W CERMAK RDCHICAGOIL60608.002/14/2024Canvass Re-InspectionPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14 OBSERVED NO HAND WASHING SIGN AT THE REAR HAND WASHING SINK. INSTRUCTED TO PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE MANAGER ON DUTY WITHOUT STATE ALERGENT CERTIFICATE. INSTRUCTED ALL MANAGERS MUST MEET REQUIREMENTS.41.852143-87.685361(41.852142589161744, -87.68536057746589)
12589515GEORGE E TAYLOR CHILD DEVELOPMENT CENTERGEORGE E TAYLOR CHILD DEVELOPMENT CENTER2221191Daycare (2 - 6 Years)Risk 1 (High)3232 W DIVISION STCHICAGOIL60651.002/13/2024License Re-InspectionPassNaN41.902929-87.708049(41.90292929858984, -87.70804857041449)
22589485CASA CENTRAL COMMUNITY SERVICECASA CENTRAL COMMUNITY SERVICE60765RestaurantRisk 1 (High)1343 N CALIFORNIA AVECHICAGOIL60622.002/13/2024CanvassPassNaN41.905986-87.696807(41.90598597077873, -87.69680735572291)
32589428DrummondDrummond23021SchoolRisk 1 (High)1845 W Cortland STCHICAGOIL60622.002/09/2024Canvass Re-InspectionPassNaN41.915886-87.674496(41.91588633998172, -87.67449563016454)
42589436STICKY KISSSTICKY KISS2951643RestaurantRisk 2 (Medium)925 N ASHLAND AVECHICAGOIL60622.002/09/2024License Re-InspectionPassNaN41.898687-87.667217(41.898687455164605, -87.66721715934328)
52589441Laxi LiquorLaxi Liquor47780Grocery StoreRisk 3 (Low)6922 W GRAND AVECHICAGOIL60707.002/09/2024CanvassOut of BusinessNaN41.923681-87.798676(41.923680700297396, -87.79867612863558)
62589416BOBBY E WRIGHTCRISIS HOUSE0SHELTERRisk 1 (High)3525 W JACKSONCHICAGOIL60624.002/09/2024Complaint Re-InspectionPassNaN41.877118-87.714513(41.87711784411623, -87.71451339605315)
72589377BIG BOSS SPICY FRIED CHICKENBIG BOSS SPICY FRIED CHICKEN2807954RestaurantRisk 1 (High)2520 S HALSTED STCHICAGOIL60608.002/08/2024CanvassFail23. PROPER DATE MARKING AND DISPOSITION - Comments: 3-501.17 OBSERVED READY-TO-EAT TCS FOODS (MACARONI SALAD) IN A REFRIGERATOR WITHOUT LABELS CONTAINING THE PRODUCT DISCARD DATE. INSTRUCTED TO PROVIDE LABELS WITH PRODUCT DISCARD DATES FOR ALL TCS RTE FOODS THAT ARE HELD FOR MORE THAN 24 HOURS IN A REFRIGERATOR. PRIORITY FOUNDATION. CITATION ISSUED 7-38-005. | 37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: 3-302.12 OBSERVED SPICES/DRY STORAGE (RICE) OUT OF THE ORIGINAL PACKAGING IN CONTAINERS WITHOUT LABELS. INSTRUCTED TO LABEL ALL SPICE/DRY STORAGE CONTAINERS. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.111 OBSERVED EVIDENCE OF RODENT ACTIVITY ON SITE. OBSERVED ABOUT 200 RODENT DROPPINGS LOCATED BEHIND THE COOKING EQUIPMENT AND UNDER ALL DRY STORAGE SHELVES. OBSERVED ABOUT 150 RODENT DROPPINGS IN THE HOT WATER HEATER ROOM, BEHIND REACH IN FREEZERS, AND REFRIGERATION UNITS. OBSERVED ABOUT 100 RODENT DROPPINGS INSIDE OF ALL FRYERS. INSTRUCTED TO ELIMINATE RODENT ACTIVITY, CLEAN AND SANITIZE AFFECTED AREAS AND RECOMMENDED CONTACTING PEST CONTROL FOR A SERVICE. PRIORITY FOUNDATION. CITATION ISSUED 7-38-020(A). | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-202.15 OBSERVED FRONT ENTRANCE DOOR WITH A 1/4 INCH GAP AT THE BOTTOM. INSTRUCTED TO MAKE SAID FRONT ENTRANCE DOOR RODENT PROOFED AND TIGHT FITTING. | 45. SINGLE-USE/SINGLE-SERVICE ARTICLES: PROPERLY STORED & USED - Comments: 4-502.13 OBSERVED SINGLE-USE CONTAINERS (SOY SAUCE CONTAINERS) AND SINGLE-USE GROCERY BAGS BEING USED FOR FOOD STORAGE IN THE REACH-IN FREEZERS AND THE WALK-IN COOLER. INSTRUCTED TO ONLY USE FOOD-GRADE STORAGE CONTAINERS AND FOOD-GRADE STORAGE BAGS FOR ALL FOOD STORAGE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-601.11(C) OBSERVED ALL NON-FOOD CONTACT SURFACES WITH EXCESSIVE ACCUMULATED FOOD DEBRIS LOCATED ON THE HANDLES OF ALL REFRIGERATION UNITS AND PREP COOLERS, INTERIOR OF ALL REFRIGERATION UNITS AND PREP COOLERS, CUTTING BOARDS WITH DARK GROOVES USED FOR SALAD PREPARATION, INTERIOR OF ALL FRYERS WITH EXCESSIVE ACCUMULATED FOOD AND GREASE DEBRIS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: 5-501.17 OBSERVED NO COVERED RECEPTACLES INSIDE REAR EMPLOYEE'S TOILET ROOMS. INSTRUCTED TO PROVIDE. | 54. GARBAGE & REFUSE PROPERLY DISPOSED; FACILITIES MAINTAINED - Comments: 5-501.113 OBSERVED FACILITY USING SINGLE-USE FOOD STORAGE CONTAINERS FOR FOOD PREP AREA RECEPTACLES AND WITHOUT LIDS. INSTRUCTED ALL REFUSE RECEPTACLES SHALL BE KEPT COVERED AND NOT SINGLE-USE FOOD STORAGE CONTAINERS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.114 OBSERVED EXCESSIVE CLUTTER THROUGHOUT THE FOOD PREP AREA. INSTRUCTED TO ORGANIZE AND - OR REMOVE ALL CLUTTER. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: 6-501.12 OBSERVED FLOORS THROUGHOUT THE FOOD PREP AREA WITH ACCUMULATED DIRT DEBRIS ALONG THE WALLS AND IN ALL CORNERS, ACCUMULATED GREASE AND FOOD DEBRIS UNDER ALL COOKING EQUIPMENT. OBSERVED ACCUMULATED DUST ON THE WALLS. INSTRUCTED TO CLEAN AND SANITIZE ALL. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: 2-102.13 OBSERVED THE CITY OF CHICAGO FOOD SERVICE SANITATION MANAGER ON DUTY WITHOUT AN ALLERGEN TRAINING CERTIFICATE. INSTRUCTED TO MEET REQUIREMENTS. | 61. SUMMARY REPORT DISPLAYED AND VISIBLE TO THE PUBLIC - Comments: 8-304.11(A) OBSERVED NO MOST RECENT INSPECTION REPORT SUMMARY NOT POSTED FOR THE PUBLIC'S VIEW. INSTRUCTED ALWAYS TO POST THE MOST RECENT INSPECTION REPORT SUMMARY FOR THE PUBLIC'S VIEW AT ALL TIMES. PRIORITY FOUNDATION. CITATION ISSUED 7-42-010(B).41.846381-87.646613(41.84638121795965, -87.64661301435865)
82589362BARTOLI'S PIZZERIABARTOLI'S PIZZERIA2709388RestaurantRisk 1 (High)658 N ASHLAND AVECHICAGOIL60622.002/08/2024CanvassFail48. WAREWASHING FACILITIES: INSTALLED, MAINTAINED & USED; TEST STRIPS - Comments: OBSERVED 3-COMPARTMENT SINK NOT IN PROPER WORKING ORDER. WHEN WATER IS DRAINED IN ONE COMPARTMENT, ANOTHER ONE FLOODS BEFORE GOING BACK DOWN. INSTRUCTED MANAGER TO SERVICE 3-COMPARTMENT SINK. PRIORITY FOUNDATION VIOLATION 7-38-025 CITATION ISSUED.41.894209-87.667382(41.894208809612294, -87.66738222845791)
92589341BurkeBurke22411SchoolRisk 1 (High)5356 S DR MARTIN LUTHER KING JR DRCHICAGOIL60615.002/08/2024CanvassPassNaN41.796793-87.616178(41.79679284535837, -87.61617809193172)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
115802200571ELIS ARKELIS ARK2609066RestaurantRisk 2 (Medium)1843 W NORTH AVECHICAGOIL60622.008/07/2018License Re-InspectionPassNaN41.910425-87.674280(41.910424909682696, -87.6742795115652)
115812200570TAQUERIA MARAVATIO INC.TAQUERIA MARAVATIO2589996RestaurantRisk 1 (High)2618-2620 W 59TH STCHICAGOIL60629.008/07/2018License Re-InspectionPass w/ Conditions3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: NO EMPLOYEE HEALTH POLICY IN PLACE. INSTD TO PROVIDE AND MAINTAIN. PRIORITY FOUNDATION VIOLATION 7-38-012A. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: NO PROCEDURE FOR RESPONDING TO VOMITIING AND DIARRHEAL EVENTS. INSTD TO PROVIDE AND MAINTAIN. PRIORITY FOUNDATION 7-38-005 | 58. ALLERGEN TRAINING AS REQUIRED - Comments: NO ALLERGAN TRAINING PROVIDED. INSTD TO PROVIDE.41.786583-87.689605(41.786582933069056, -87.68960546577378)
115822200562WHOLE FOODS MARKETWHOLE FOODS MARKET2488666Grocery StoreRisk 1 (High)3201-3225 N ASHLAND AVECHICAGOIL60657.008/07/2018Short Form ComplaintPassNaN41.939745-87.668516(41.93974461573451, -87.6685161010639)
115832200550ELLA ELLIELLA ELLI2419271RestaurantRisk 1 (High)1347-1353 W CORNELIA AVECHICAGOIL60657.008/03/2018CanvassNo EntryNaN41.945144-87.663393(41.94514408422124, -87.66339253518998)
115842200545RUBIANNA PASTA & THINGSRUBIANNA PASTA & THINGS2535730RestaurantRisk 1 (High)6319 S DR MARTIN LUTHER KING JR DRCHICAGOIL60637.008/03/2018LicensePass w/ Conditions3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: OBSERVED NO EMPLOYEE HEALTH POLICY AVAILABLE. INSTRUCTED MANAGER TO PROVIDE DOCUMENTATION OF EMPLOYEE RESPONSIBILITY TO REPORT ANY ILLNESS TRANSMISSIBLE THROUGH FOOD. PRIORITY FOUNDATION VIOLATION 7-38-012A | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: OBSERVED NO CLEAN UP POLICY FOR VOMITING AND DIARRHEAL EVENTS. INSTRUCTED MANAGER TO PROVIDE CLEAN UP POLICY. PRIORITY VIOLATION 7-38-005 | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HAND WASHING SIGN AT FRONT EXPOSED SINK. INSTRUCTED MANAGER TO PROVIDE HAND WASHING SIGNS AT ALL HAND WASHING SINKS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: INSTRUCTED MANAGER TO REMOVE ALL UNUSED ARTICLES AND EQUIPMENT IN PREP AND STORAGE AREAS.41.779555-87.615462(41.779555319953104, -87.61546236652772)
115852200538TAURUS RESTAURANTTAURUS RESTAURANT2432389RestaurantRisk 1 (High)4024-4026 N MILWAUKEE AVECHICAGOIL60641.008/03/2018CanvassNo EntryNaN41.953818-87.748217(41.9538177479583, -87.74821678621218)
115862200532STAR CONVENIENCE MARTSTAR CONVENIENCE MART2608930Grocery StoreRisk 2 (Medium)2521-2523 E 79TH STREETCHICAGOIL60649.008/03/2018LicenseNot ReadyNaN41.751665-87.562906(41.75166495991991, -87.56290631954708)
115872200526YUMMY YUMMY ASIAN CUISINEYUMMY YUMMY ASIAN CUISINE3669RestaurantRisk 1 (High)2901 N BROADWAYCHICAGOIL60657.008/03/2018CanvassFail3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: FOUND NO EMPLOYEE HEALTH POLICY. PRIORITY FOUNDATION. 7-38-012A. NO CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: FOUND NO VOMIT AND DIARRHEAL CLEANUP PROCEDURE. PRIORITY VIOLATION. NO CITATION ISUUED. 7-38-005. MUST PROVIDE. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: FOUND NO BACKFLOW PREVENTION DEVICE INSTALLED(CHECK VALVE) AT ICE MACHINE WATERLINE. PRIORITY VIOLATION. CITATION ISSUED. 7-38-030C. MUST PROVIDE. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: FOUND CITY OF CHICAGO SANITATION MANAGER WITH NO FOOD ALLERGEN TRAINING. MUST PROVIDE.41.935280-87.644093(41.93527996155769, -87.64409274536888)
115882200520KING SUPERMARKETKING SUPERMARKET2423280Grocery StoreRisk 3 (Low)400 E 41ST STCHICAGOIL60653.008/03/2018Canvass Re-InspectionFail3. MANAGEMENT, FOOD EMPLOYEE AND CONDITIONAL EMPLOYEE; KNOWLEDGE, RESPONSIBILITIES AND REPORTING - Comments: OBSERVED NO EMPLOYEE HEALTH POLICY ON SITE. MUST PROVIDE PRIORITY FOUNDATION VIOLATION#: 7-38-012(A)(A) NO CITATION ISSUED. | 5. PROCEDURES FOR RESPONDING TO VOMITING AND DIARRHEAL EVENTS - Comments: OBSERVED NO VOMITOUS AND DIARRHEAL INCIDENT CLEAN UP POLICY IN PLACE AND KIT ON SITE. MUST PROVIDE. PRIORITY FOUNDATION VIOLATION. 7-38-005. NO CITATION ISSUED | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO SIGN OR POSTER THAT NOTIFIES FOOD HANDLER EMPLOYEE TO WASH HANDS. MUST OBTAIN AND MAINTAIN VISIBLE FOR FOOD HANDLER EMPLOYEES. | 33. PROPER COOLING METHODS USED; ADEQUATE EQUIPMENT FOR TEMPERATURE CONTROL - Comments: OBSERVED FACILITY WITHOUT ADEQUEATE EQUIPMENT FOR COLD HOLDING IN FOOD PREP AREA. 2 DOOR PREP REACH IN COOLER AT 61 DEGREES F INFORMED PERSON IN CHARGE TO REPAIR OR REPALCE FOR PROPER COLD HOLDING OF 41 DEGREES F OR BELOW. PRIORITY VIOLATION 7-38-005.NO CITATION ISSUED. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED NUMEROUS FLYING INSECTS THROUGH OUT FACILITY; INFORMED PERSON IN CHARGE TO CONTACT PEST CONTROL FOR MINIMIZATION AND ELIMANITION OF PEST. PRIORITY FOUNDATION VIOLATION 7-38-020(A)NO CITATION ISSUED | 40. PERSONAL CLEANLINESS - Comments: OBSEVED FOOD HANDLER EMPLOYEES ACTIVELY HANDLE FOOD WITH OUT UTILIZING HAIR RESTRAINTS SUCH AS HATS, HAIR COVERINGS OR HAIR NETS. ALLY FOOD HANDLER EMPLOYEES MUST WEAR HAIR RESTRAINTS. | 41. WIPING CLOTHS: PROPERLY USED & STORED - Comments: OBSERVED WIPING CLOTHS FOR WIPING COUNTERS NOT STORED IN CHEMICAL SANTIZER BETWEEN USES. MUST HOLD WIPING CLOTHS IN SANTIZER SOLUTION AND PROPER CONCENTRATION. | 44. UTENSILS, EQUIPMENT & LINENS: PROPERLY STORED, DRIED, & HANDLED - Comments: OBSERVED ITEMS STORED ON FLOOR THROUGH OUT FACILITY SALES FLOOR AND PREP AREA. MUST STORE ITEMS 6 INCHES FROM FLOOR. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED INSIDE OF REACH IN FREEZER(BLUE BELL) (COKE) WITH ACCUMULATION OF ICE BUILD UP INSIDE. MUST DETAIL CLEAN, DEFROST AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED INSIDE OF REACH IN COOLER WITH FOOD DEBRIS. MUST DETAIL CLEAN AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: ACCUMULATION ON DUST AND FOOD DEBRIS UNDER SHELVES, CABNIET IN PREP AREA, DRY STORAGE AND UNDER EQUIPMENT AND REACH IN COOLER ON SALES FLOOR. MUST DETAIL CLEAN ALL AREAS AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: ACCUMULATION ON GREASE AND FOOD DEBRIS UNDER SHELVES IN DRY STORAGE AND UNDER EQUIPMENT. MUST DETAIL CLEAN ALL AREAS AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED CHIP DISPLAY CASE SOILED. MUST REPLACE AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED SECOND THREE COMPARTMENT SINK IN PREP AREA DISREPAIR, NON FUNCTIONAL AND EXPOSED HAND SINK IN COFFEE STATION AREA IN DISREPAIR/NON FUNCTIONAL. MUST REPAIR AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED ACCULUMATION OF UNNECESSARY ARTICLES THROUOUT FACILITY AND DISORGANIZED AND CLUTTER FOR HARBORAGE CONDITIONS. REMOVE ALL UNNECESSARY ITEMS NOT NEEDED FOR DAILY OPERATION AND ORGANIZE AREAS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED MOP IN A POSITION THAT DOES NOT ALLOW TO DRY PROPERLY AND PREVENT PEST HARBORAGE. MUST STORE MOP AFTER USE IN A POSITION THAT ALLOWS AIR-DRY WITHOUT SOILING AND PEST HARBORAGE. | 56. ADEQUATE VENTILATION & LIGHTING; DESIGNATED AREAS USED - Comments: OBSERVED VENTILATION IN RESTROOM IN DISREPAIR AND ACCUMULATION OF DUST. MUST REPAIR AND MAINTAIN. | 57. ALL FOOD EMPLOYEES HAVE FOOD HANDLER TRAINING - Comments: OBSERVED FACILITY MISSING REQUIRED FOOD HANDLER TRAINING CERTIFICATION FOR ALL FOOD HANDLER EMPLOYEES. FACILITY MUST OBTAIN AND MAINTAIN ALL REQUIRED FOOD HANDLER TRAINING CERTIFICATION FOR ALL FOOD HANDLER EMPLOYEES ON SITE FOR INSPECTION REVIEW.41.820350-87.616514(41.82034950030901, -87.61651410947175)
115892200506GOURMET GORILLALEARN CHARTER SCHOOL2608554RestaurantRiskNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN